This advanced course covers the principles, techniques, and applications of deep learning in computer vision. Students will learn how to develop, train, and validate neural networks for image classification, object recognition, semantic segmentation, and other computer vision tasks. Techniques for improving the performance of deep learning models and illustrations will also be covered to provide clues for further model development. By the end of the course, students will be able to apply deep learning techniques to solve real-world problems in various domains.
The course is managed via the Moodle learning platform. All documents and further information can be found in the Moodle course Deep Learning for Computer Vision SoSe2024.